Python Maps

Mapping the world with Python. Buy my book here -

[Python Maps @PythonMaps]

Ending 2023 with my favourite map. South American forests. See you next year!

[Python Maps @PythonMaps]

This bivariate map uses WRI's Aqueduct 4.0 data to show projected gross water demand (white→orange) vs. blue water availability (blue→purple) under a business-as-usual scenario by 2065–2095.

[Python Maps @PythonMaps]

This bivariate map uses WRI's Aqueduct 4.0 data to show projected gross water demand (white→orange) vs. blue water availability (blue→purple) under a business-as-usual scenario by 2065–2095.

[Python Maps @PythonMaps]

This bivariate map uses WRI's Aqueduct 4.0 data to show projected gross water demand (white→orange) vs. blue water availability (blue→purple) under a business-as-usual scenario by 2065–2095.

For those who care - projection is EPSG:27703 is WGS 84 / Equi7 Asia

[Python Maps @PythonMaps]

This bivariate map uses WRI's Aqueduct 4.0 data to show projected gross water demand (white→orange) vs. blue water availability (blue→purple) under a business-as-usual scenario by 2065–2095.

Inspiration came from this post from @Esri - https://t.co/APHofHWuYe

[Python Maps @PythonMaps]

@Nikki_Bea_ Lots of evidence that mars had water in the past but no evidence of grass

[Python Maps @PythonMaps]

Dunno where the green came from. Mars is called the red planet for a reason.

[Fermat's Library @fermatslibrary]

Here's a map of Mars if, like Earth, it were covered by water on 71% of its surface.

[Python Maps @PythonMaps]

Got to have your critics I guess

[Overton Window Defenestrator 𓂺 @BurgerImam]

That's not 70% you fucking fag

[Python Maps @PythonMaps]

@TheWarmChills There’s actually no grass on mars

[Python Maps @PythonMaps]

@Pete_Riot @aji_priyatmoko No AI was used in the generation of this map

[Python Maps @PythonMaps]

@nikitabier This happens to me a lot. Often the accounts will scrub the citations and logos

https://t.co/Z1EeTzIWk6

[Epic Maps 🗺️ @theepicmap]

Population density of Africa!

[Python Maps @PythonMaps]

@DanNeidle @Heccles94 The ruthlessness with which you pursue and enrage the entire political spectrum is nothing short of commendable Dan.

[Vintage Maps @vintagemapstore]

Average colors of the USA from satellite imagery, by Erin Davis

[Python Maps @PythonMaps]

Mars https://t.co/6gyM1v7MdW

[Python Maps @PythonMaps]

I made this map for Earth last week and you seemed to like it so here is it for Mars, the distribution of elevation levels on the earths surface. I have used a blue-red colourmap to give it the illusion of oceans. Negative values indicate terrain below the Mars areoid — a gravitational reference surface defined where atmospheric pressure equals 610.5 Pa (the triple point of water) — which serves as the zero-elevation datum in place of a sea level.

[Python Maps @PythonMaps]

Mercury! We may as well continue the series and explore the rest of the rocky worlds in the Solar System.

[Python Maps @PythonMaps]

Earth https://t.co/4ddDGVcIUx

[Python Maps @PythonMaps]

Fun concept, the distribution of elevation levels on the earths surface

[Python Maps @PythonMaps]

Earth for reference. https://t.co/4ddDGVcIUx

[Python Maps @PythonMaps]

Fun concept, the distribution of elevation levels on the earths surface

[Python Maps @PythonMaps]

I made this map for Earth / Mars last week and you seemed to like it so here is it for Venus showing the distribution of elevation levels on the surface. Negative values indicate terrain below the Mars areoid — a gravitational reference surface defined where atmospheric pressure equals 610.5 Pa (the triple point of water) — which serves as the zero-elevation datum in place of a sea level.

[Python Maps @PythonMaps]

Mars for reference. https://t.co/6gyM1v7MdW

[Python Maps @PythonMaps]

I made this map for Earth last week and you seemed to like it so here is it for Mars, the distribution of elevation levels on the earths surface. I have used a blue-red colourmap to give it the illusion of oceans. Negative values indicate terrain below the Mars areoid — a gravitational reference surface defined where atmospheric pressure equals 610.5 Pa (the triple point of water) — which serves as the zero-elevation datum in place of a sea level.